Self-adapting method for filtering image with edge being retained

An image filtering and adaptive technology, applied in the field of image processing, can solve the problem of loss of image detail information, and achieve the effect of maintaining image detail information, removing noise, and easy target recognition and tracking.

Inactive Publication Date: 2007-12-26
HAOYUN TECH CO LTD
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Problems solved by technology

Although this method uses different thresholds for high-frequency components of different scales, it unconditionally shrinks all pixels at a certain scale, and uses a unified threshold, so the details of the image will also be lost to a certain extent. information

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  • Self-adapting method for filtering image with edge being retained
  • Self-adapting method for filtering image with edge being retained
  • Self-adapting method for filtering image with edge being retained

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Embodiment Construction

[0022] The present invention will be further described now in conjunction with accompanying drawing:

[0023] Figure 2(a) is the original noise-free Lean image, and Figure 2(b) is the noisy image after adding salt and pepper noise with an intensity of 0.2 and Gaussian noise with a mean of 0 and a variance of 16 to Figure 2(a).

[0024] a) Use the extremum method to detect pixels polluted by salt and pepper noise in the noise image;

[0025] Suppose y is an image polluted by mixed noise. For a central pixel (i, j) in a certain detection window, if the gray value of the pixel is the maximum or minimum value in the window, it is considered that the pixel is affected by For salt and pepper noise pollution, set the value of the corresponding position in the noise marker matrix flag to 1, that is, flag(i, j)=1; otherwise, it is considered that there is no noise pollution, and set fag(i, j)=0;

[0026] b) Use the adaptive filter method to correct the gray value of the polluted pixel...

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Abstract

The method comprises: using an extreme-value method to detect the image pixels polluted by the salt-and-pepper noise; using a self-adaptive filter method to correct the grey value of noise pixels to get an image removing the salt-and-pepper noise; making stationary wavelet de-composition to get relevant low-frequency component and high-frequency component; keeping an unchanged state for the low-frequency component, and using the coefficient correlation method for the high-frequency component to mark its pixels as noise or edge; if a pixels is marked as edge, then its value is unchanged; otherwise, using self-adaptive adjacent domain method to contract the wavelet coefficient; making stationary wavelet inverse transformation for the processed wavelet coefficient to get a noise-removed image.

Description

technical field [0001] The invention relates to an edge-preserving adaptive image filtering method, which belongs to the technical field of image processing, and in particular to a mixed noise image filtering method. Background technique [0002] During the acquisition and transmission of digital images, sensors or transmission channels often generate noise. The existence of noise greatly reduces the quality of the image, making later processing such as image segmentation, feature extraction and target recognition difficult, so filtering the noisy image becomes a very important task. Among various forms of noise, salt-and-pepper noise and Gaussian noise are the two most common, and thus have attracted more attention. [0003] For the removal of salt and pepper noise, the more common method is the nonlinear median filter. Since the median filtering method uses the same window for processing all pixels, the denoising result cannot maintain details such as edges. At present,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/21H04N5/213
Inventor 王红梅李言俊张科
Owner HAOYUN TECH CO LTD
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